Abolmaali N - Search Results

1

Landmark-based evaluation of a deformable motion correction for DCE-MRI of the liver.

Strehlow J, Spahr N, Rühaak J, Laue H, Abolmaali N, Preusser T, Schenk A. Strehlow J, et al. Among authors: abolmaali n. Int J Comput Assist Radiol Surg. 2018 Apr;13(4):597-606. doi: 10.1007/s11548-018-1710-1. Epub 2018 Feb 23. Int J Comput Assist Radiol Surg. 2018. PMID: 29473128 Free PMC article.

2

Multimodal image registration for liver radioembolization planning and patient assessment.

Spahr N, Thoduka S, Abolmaali N, Kikinis R, Schenk A. Spahr N, et al. Among authors: abolmaali n. Int J Comput Assist Radiol Surg. 2019 Feb;14(2):215-225. doi: 10.1007/s11548-018-1877-5. Epub 2018 Oct 22. Int J Comput Assist Radiol Surg. 2019. PMID: 30349976 Free PMC article.

3

Reducing inter-observer variability and interaction time of MR liver volumetry by combining automatic CNN-based liver segmentation and manual corrections.

Chlebus G, Meine H, Thoduka S, Abolmaali N, van Ginneken B, Hahn HK, Schenk A. Chlebus G, et al. Among authors: abolmaali n. PLoS One. 2019 May 20;14(5):e0217228. doi: 10.1371/journal.pone.0217228. eCollection 2019. PLoS One. 2019. PMID: 31107915 Free PMC article.

4

Predictive SIRT dosimetry based on a territorial model.

Spahr N, Schilling P, Thoduka S, Abolmaali N, Schenk A. Spahr N, et al. Among authors: abolmaali n. EJNMMI Phys. 2017 Oct 31;4(1):25. doi: 10.1186/s40658-017-0192-5. EJNMMI Phys. 2017. PMID: 29090358 Free PMC article.

5

Improving automatic liver tumor segmentation in late-phase MRI using multi-model training and 3D convolutional neural networks.

Hänsch A, Chlebus G, Meine H, Thielke F, Kock F, Paulus T, Abolmaali N, Schenk A. Hänsch A, et al. Among authors: abolmaali n. Sci Rep. 2022 Jul 18;12(1):12262. doi: 10.1038/s41598-022-16388-9. Sci Rep. 2022. PMID: 35851322 Free PMC article.

6

[Imaging of vessels supplying the brain].

Schellong SM, Abolmaali N, Voigts B, Stelzner C. Schellong SM, et al. Among authors: abolmaali n. Internist (Berl). 2017 Aug;58(8):758-765. doi: 10.1007/s00108-017-0280-6. Internist (Berl). 2017. PMID: 28646330 Review. German.

7

[Imaging of visceral vessels].

Stelzner C, Abolmaali N, Hecker U, Schellong S. Stelzner C, et al. Among authors: abolmaali n. Internist (Berl). 2017 Aug;58(8):775-786. doi: 10.1007/s00108-017-0286-0. Internist (Berl). 2017. PMID: 28681070 Review. German.

8

Comparative evaluation of chest radiography, low-field MRI, the Shwachman-Kulczycki score and pulmonary function tests in patients with cystic fibrosis.

Anjorin A, Schmidt H, Posselt HG, Smaczny C, Ackermann H, Deimling M, Vogl TJ, Abolmaali N. Anjorin A, et al. Among authors: abolmaali n. Eur Radiol. 2008 Jun;18(6):1153-61. doi: 10.1007/s00330-008-0884-2. Epub 2008 Feb 15. Eur Radiol. 2008. PMID: 18274754

9

Quantitative cartilage volume measurement using MRI: comparison of different evaluation techniques.

Maataoui A, Graichen H, Abolmaali ND, Khan MF, Gurung J, Straub R, Qian J, Hinterwimmer S, Ackermann H, Vogl TJ. Maataoui A, et al. Eur Radiol. 2005 Aug;15(8):1550-4. doi: 10.1007/s00330-005-2744-7. Epub 2005 Apr 26. Eur Radiol. 2005. PMID: 15856246

10

Is there a correlation between hippocampus and amygdala volume and olfactory function in healthy subjects?

Smitka M, Puschmann S, Buschhueter D, Gerber JC, Witt M, Honeycutt N, Abolmaali N, Hummel T. Smitka M, et al. Among authors: abolmaali n. Neuroimage. 2012 Jan 16;59(2):1052-7. doi: 10.1016/j.neuroimage.2011.09.024. Epub 2011 Sep 24. Neuroimage. 2012. PMID: 21967725

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